A new algorithm has been propose to detect the reflected light region as disturbances in a real-time vision system. There have been several attempts to detect existing reflected light region. The conventional mathematical approach requires a lot of complex processes so that it is not suitable for a real-time vision system. On the other hand, when a simple detection process has been applied, the reflected light region can not be detected accurately. Therefore, in order to detect reflected light region for a real-time vision system, the detection process requires a new algorithm that is as simple and accurate as possible. In order to extract the reflected light, the proposed algorithm has been adopted several filter equations and clustering processes in the HSI (Hue Saturation Intensity) color space. Also the proposed algorithm used the pre-defined reflected light data generated through the clustering processes to make the algorithm simple. To demonstrate the effectiveness of the proposed algorithm, several images with the reflected region have been used and the reflected regions are detected successfully.

Abstract
1. 서 론
2. 검출 반사광 정의
    2.1 접근 방식
3. 색도 검출
    3.1 검출 색 공간 선정
4. Pixel 군집화 및 반사광 영역 정의
    4.1 군집화 Data 형성
    4.2 분류식을 통한 최종 반사광 영역 정의
5. 반사광 검출 실험 및 고찰
    5.1 비교 실험
    5.2 알고리즘의 범용성 확인
6. 결 론
References

• 황도경(Pusan National University) | Dokyung Hwang
• 안종우(Pusan National University) | Jongwoo An
• 강호선(Pusan National University) | Hosun Kang
• 이장명(Electrical Engineering, Pusan National University) | Jangmyung Lee Corresponding author